博士 初聘教授
Email：qiaokangjia@yeah.net
博士毕业于郑州大学，目前就职于郑州大学电气与信息工程学院，主要研究方向为进化计算及其应用，包括多任务优化、多目标优化、约束优化等。截止2025年12月，以第一/通讯作者在IEEE TEVC、IEEE TCYB、IEEE TSMCA、IEEE/CAA JAS等期刊发表SCI论文17篇（中科院一区12篇，中科院二区5篇），其中IEEE汇刊论文7篇，论文谷歌引用2500余次，H指数22，入选ESI高被引论文5篇；在国际会议IEEE CEC上组织算法竞赛2次，撰写技术报告2篇。入选斯坦福前2%科学家，获得首届中国科协青年人才托举工程博士生专项计划、博士研究生国家奖学金、《复杂系统建模与仿真(英文)》年度优秀论文等荣誉奖励。
主要发表论文：
[1] K. J. Qiao, K. J. Yu, B. Y. Qu, J. Liang*, H. Song, C. T. Yue. An evolutionary multitasking optimization framework for constrained multi-objective optimization problems [J]. IEEE Transactions on Evolutionary Computation, 2022, 26(2): 263-277. (中科院一区SCI，IF=16.497，高被引论文).
[2] K. J. Qiao, K. J. Yu, B. Y. Qu, J. Liang*, H. Song, C. T. Yue, H. Y. Lin, K. C. Tan. Dynamic auxiliary task-based evolutionary multitasking for constrained multi-objective optimization[J]. IEEE Transactions on Evolutionary Computation, 2023, 27(3): 642-656.(中科院一区SCI，IF=14.3，高被引论文).
[3] K. J. Qiao, J. Liang*, K. J. Yu, C. T. Yue, H. Y. Lin, D. Z. Zhang, B. Y. Qu. Evolutionary constrained multiobjective optimization: scalable high-dimensional constraint benchmarks and algorithm[J]. IEEE Transactions on Evolutionary Computation, 2024, 28 (4), 965-979. (中科院一区SCI，IF=11.7，高被引论文).
[4] K. J. Qiao, J. Liang*, D. W. Gong*, Y. Zhang, C. Y. Dai, J. Ma, X. X. Ban, K. J. Yu. A time-division based constrained multiobjective optimization method for coal mine integrated energy system dispatch problem [J]. IEEE Transactions on Cybernetics, 2025, DOI: 10.1109/TCYB.2025.3649862. (中科院一区SCI，IF=10.05).
[5] K. J. Qiao, J. Liang*, Z. Y. Liu, K. J. Yu, C. T. Yue, B. Y. Qu. Evolutionary multitasking with global and local auxiliary tasks for constrained multi-objective optimization[J]. IEEE/CAA Journal of Automatica Sinica, 2023, 10 (10), 1951-1964. (中科院一区SCI，IF=15.3，期刊为自动化学报英文版).
[6] K. J. Qiao, J. Liang*, K. J. Yu, X. X. Ban, C. T. Yue, B. Y. Qu, P. N. Suganthan. Constraints separation based evolutionary multitasking for constrained multiobjective optimization problems[J]. IEEE/CAA Journal of Automatica Sinica, 2024, 11(8): 1819-1835. (中科院一区SCI，IF=15.3，期刊为自动化学报英文版).
[7] K. J. Qiao, K. J. Yu, B. Y. Qu, J. Liang*, C. T. Yue, X. X. Ban. Feature extraction for recommendation of constrained multi-objective evolutionary algorithms[J]. IEEE Transactions on Evolutionary Computation, 2023, 27 (4), 979-963. (中科院一区SCI，IF=14.3).
[8] K. J. Qiao, K. J. Yu, C. T. Yue, B. Y. Qu, M. N. Liu, J. Liang*. A cooperative multi-step mutation strategy for multi-objective optimization problems with deceptive constraints[J]. IEEE Transactions on Systems, Man and Cybernetics: Systems, 2024, 54 (11), 6770-6682. (中科院一区SCI，IF=8.6).
[9] K. J. Qiao, J. Liang*, K. J. Yu, M. H. Wang, B. Y. Qu, C. T. Yue, Y. N. Guo. A self-adaptive evolutionary multi-task based constrained multi-objective evolutionary algorithm[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2023, 7(4), 1098-1112. (中科院二区SCI，IF=5.3，高被引论文).
[10] K. J. Qiao, J. Liang*, W. F. Guo, Y. P. Wei, K. J. Yu, Z. Hu. Constrained multiobjective optimization-based temporal network observability for biomarker identification of individual patients[J]. IEEE Journal of Biomedical and Health Informatics, 2024. Doi: 10.1109/JBHI.2024.3435418. (中科院二区SCI，IF=6.7).